klinger.bib
@article{Velutharambath2023a,
author = {Aswathy Velutharambath and Kai Sassenberg and Roman Klinger},
title = {Prevention or Promotion? {Predicting} Author's Regulatory Focus},
journal = {Northern European Journal of Language Technology},
year = {2023},
volume = {9},
number = {1},
month = {September},
internaltype = {journal},
url = {https://www.romanklinger.de/publications/VelutharambathSassenbergKlinger_NEJLT2023.pdf},
doi = {10.3384/nejlt.2000-1533.2023.4561}
}
@article{Troiano2023a,
author = {Enrica Troiano and Roman Klinger and Sebastian Padó},
title = {On the Relationship between Frames and Emotionality in Text},
journal = {Northern European Journal of Language Technology},
year = {2023},
volume = {9},
number = {1},
month = {September},
internaltype = {journal},
doi = {10.3384/nejlt.2000-1533.2023.4361},
url = {https://www.romanklinger.de/publications/TroianoKlingerPado_nejlt23.pdf}
}
@article{Troiano2023,
author = {Enrica Troiano and Laura Oberl\"ander and Roman
Klinger},
title = {Dimensional Modeling of Emotions in Text with
Appraisal Theories: Corpus Creation, Annotation
Reliability, and Prediction},
journal = {Computational Linguistics},
number = 1,
volume = 49,
month = mar,
year = 2023,
address = {Cambridge, MA},
publisher = {MIT Press},
abstract = {The most prominent tasks in emotion analysis are to
assign emotions to texts and to understand how
emotions manifest in language. An observation for
NLP is that emotions can be communicated implicitly
by referring to events, appealing to an empathetic,
intersubjective understanding of events, even
without explicitly mentioning an emotion name. In
psychology, the class of emotion theories known as
appraisal theories aims at explaining the link
between events and emotions. Appraisals can be
formalized as variables that measure a cognitive
evaluation by people living through an event that
they consider relevant. They include the assessment
if an event is novel, if the person considers
themselves to be responsible, if it is in line with
the own goals, and many others. Such appraisals
explain which emotions are developed based on an
event, e.g., that a novel situation can induce
surprise or one with uncertain consequences could
evoke fear. We analyze the suitability of appraisal
theories for emotion analysis in text with the goal
of understanding if appraisal concepts can reliably
be reconstructed by annotators, if they can be
predicted by text classifiers, and if appraisal
concepts help to identify emotion categories. To
achieve that, we compile a corpus by asking people
to textually describe events that triggered
particular emotions and to disclose their
appraisals. Then, we ask readers to reconstruct
emotions and appraisals from the text. This setup
allows us to measure if emotions and appraisals can
be recovered purely from text and provides a human
baseline. Our comparison of text classification
methods to human annotators shows that both can
reliably detect emotions and appraisals with similar
performance. Therefore, appraisals constitute an
alternative computational emotion analysis paradigm
and further improve the categorization of emotions
in text with joint models.},
doi = {10.1162/coli_a_00461},
url = {https://doi.org/10.1162/coli_a_00461},
internaltype = {journal},
archiveprefix = {arXiv},
eprint = {2206.05238}
}
@article{troiano2022theories,
title = {From theories on styles to their transfer in text:
Bridging the gap with a hierarchical survey},
doi = {10.1017/S1351324922000407},
journal = {Natural Language Engineering},
publisher = {Cambridge University Press},
author = {Troiano, Enrica and Velutharambath, Aswathy and
Klinger, Roman},
year = {2022},
pages = {1–60},
archiveprefix = {arXiv},
eprint = {2110.15871},
internaltype = {journal}
}
@article{terHorst2019,
author = {Hendrik ter Horst and Matthias Hartung and Philipp
Cimiano and Nicole Brazda and Hans Werner M\"uller
and Roman Klinger},
title = {Learning Soft Domain Constraints in a Factor Graph
Model for Template-based Information Extraction},
journal = {Data \& Knowledge Engineering},
year = {2019},
volume = {125},
pages = {101764},
doi = {10.1016/j.datak.2019.101764},
internaltype = {journal}
}
@article{Barnes2019,
author = {Jeremy Barnes and Roman Klinger},
title = {Embedding Projection for Targeted Cross-Lingual
Sentiment: Model Comparisons and a Real-World Study},
journal = {Journal of Artificial Intelligence Research},
year = {2019},
volume = {66},
pages = {691-742},
month = {Nov},
url = {https://doi.org/10.1613/jair.1.11561},
doi = {10.1613/jair.1.11561},
internaltype = {journal},
archiveprefix = {arXiv},
eprint = {1906.10519}
}
@article{Ehrlicher2019,
author = {Hanno Ehrlicher and Roman Klinger and J\"org Lehmann
and Sebastian Pad\'o},
title = {Measuring Historical Emotions and Their Evolution:
An Interdisciplinary Endeavour to Investigate The
`Emotions of Encounter'},
journal = {Laborat\'orio Interdisciplinar sobre
Informa\,{c}\~{a}o e Conhecimento em revista (Liinc
em revista)},
year = {2019},
volume = {15},
number = {1},
pages = {},
url = {http://revista.ibict.br/liinc/article/view/4557/4156},
pdf = {http://revista.ibict.br/liinc/article/download/4557/4156},
doi = {10.18617/liinc.v15i1.4557},
internaltype = {journal}
}
@article{Kim2019b,
author = {Evgeny Kim and Roman Klinger},
title = {A Survey on Sentiment and Emotion Analysis for
Computational Literary Studies},
journal = {Zeitschrift fuer Digitale Geisteswissenschaften},
year = {2019},
volume = {4},
doi = {10.17175/2019_008_v2},
internaltype = {journal},
archiveprefix = {arXiv},
eprint = {1808.03137}
}
@article{Kicherer2018,
author = {Kicherer, Hanna and Dittrich, Marcel and Grebe,
Lukas and Scheible, Christian and Klinger, Roman},
title = {What You Use, Not What You Do: Automatic
Classification and Similarity Detection of Recipes},
journal = {Data and Knowledge Engineering},
year = {2018},
url = {https://doi.org/10.1016/j.datak.2018.04.004},
pdf = {http://www.romanklinger.de/publications/kicherer2018preprint.pdf},
internaltype = {journal}
}
@article{Bagewadi2014,
author = {Shweta Bagewadi and Tamara Bobić and Martin
Hofmann-Apitius and Juliane Fluck and Roman Klinger},
title = {Detecting miRNA Mentions and Relations in Biomedical
Literature [version 3; referees: 2 approved, 1
approved with reservations]},
journal = {F1000Research},
year = {2014},
volume = {3},
number = {205},
doi = {10.12688/f1000research.4591.3},
url = {http://f1000research.com/articles/3-205/v3},
internaltype = {journal}
}
@article{Bobic2013,
author = {Tamara Bobic and Roman Klinger},
title = {Committee-based Selection of Weakly Labeled Instances for Learning
Relation Extraction},
journal = {Research in Computing Science},
year = {2013},
volume = {70},
pages = {187-197},
note = {Proceedings of the Conference on Intelligent Text Processing and
Computational Linguistics},
pdf = {http://www.romanklinger.de/publications/bobic-klinger-cicling2013.pdf},
internaltype = {journal},
url = {http://www.micai.org/rcs/2013_70/Committee-based%20Selection%20of%20Weakly%20Labeled%20Instances%20for%20Learning%20Relation%20Extraction.html}
}
@article{Hofmann2008,
author = {Martin Hofmann-Apitius and Juliane Fluck and Laura
Furlong and Oriol Fornes and Corinna Kolarik and
Susanne Hanser and Martin Boecker and Stefan Schultz
and Ferran Sanz and Roman Klinger and Theo Mevissen
and Tobias Gatterneyer and Baldo Oliva and Christoph
Friedrich},
title = {Knowledge Environments Representing Molecular
Entities for the Virtual Physiological Human},
journal = {Philosophical Transactions of the Royal Society A},
year = {2008},
note = {PMID 18559317},
doi = {10.1098/rsta.2008.0099},
internaltype = {journal}
}
@article{Klinger2007b,
author = {Roman Klinger and Laura I. Furlong and Christoph
M. Friedrich and Heinz Theodor Mevissen and Juliane
Fluck and Ferran Sanz and Martin Hofmann-Apitius},
title = {Identifying Gene Specific Variations in Biomedical
Text},
journal = {Journal of Bioinformatics and Computational Biology},
year = {2007},
volume = {5},
pages = {1277-1296},
number = {6},
month = {December},
note = {PMID 18172929},
doi = {10.1142/S0219720007003156},
pdf = {http://www.romanklinger.de/publications/snp_preprint.pdf},
internaltype = {journal}
}
@article{Klinger2008,
author = {Roman Klinger and Corinna Kolarik and Juliane Fluck
and Martin Hofmann-Apitius and Christoph
M. Friedrich},
title = {{Detection of IUPAC and IUPAC-like Chemical Names}},
journal = {Bioinformatics},
year = {2008},
volume = {24},
pages = {i268-i276},
number = {13},
note = {Proceedings of the International Conference
Intelligent Systems for Molecular Biology (ISMB).},
doi = {10.1093/bioinformatics/btn181},
owner = {rklinger},
timestamp = {2008.03.21},
internaltype = {journal}
}
@article{Klinger2007,
author = {Roman Klinger and G\"unter Rudolph},
title = {{Automatic Composition of Music with Methods of
Computational Intelligence}},
journal = {Transactions in Information Science and
Applications},
year = {2007},
volume = {4},
pages = {508-515},
number = {3},
month = {March},
internaltype = {journal}
}
@article{Kolarik2009,
author = {Corinna Kolarik and Roman Klinger and Martin
Hofmann-Apitius},
title = {{Identification of Histone Modifications in
Biomedical Text for Supporting Epigenomic Research}},
journal = {BMC Bioinformatics},
year = {2009},
volume = {10},
number = {S28},
month = {January},
note = {Proceedings of the Asia Pacific Bioinformatics
Conference (APBC)},
doi = {10.1186/1471-2105-10-S1-S28},
owner = {rklinger},
publisher = {BioMed Central},
internaltype = {journal}
}
@article{Larry2008,
author = {Larry Smith and Lorraine K. Tanabe and Rie Johnson
nee Ando and Cheng-Ju Juo and I-Fang Chung and
Chun-Nan Hsu and Yu-Shi Lin and Roman Klinger and
Christoph M. Friedrich and Kuzman Ganchev and Manabu
Torii and Hongfang Liu and Barry Haddow and Craig
A. Struble and Richard J. Povinelli and Andreas
Vlachos and William A. {Baumgartner Jr.} and
Lawrence Hunter and Bob Carpenter and Richard
Tzong-Han Tsai and Hong-jie Dai and Feng Liu and
Yifei Chen and Chengjie Sun and Sophia Katrenko and
Pieter Adriaans and Christian Blaschke and Rafel
Torres Perez and Mariana Neves and Preslav Nakov and
Anna Divoli and Manuel Mana and Jacinto Mata-Vazquez
and W. John Wilbur},
title = {Overview of BioCreative II Gene Mention Recognition},
journal = {Genome Biology},
year = {2008},
volume = {9},
pages = {S2.2-S2.18},
number = {Suppl 2},
month = {September},
doi = {10.1186/gb-2008-9-s2-s2},
issn = {1465-6906},
owner = {rklinger},
url = {http://genomebiology.com/2008/9/S2/S2},
internaltype = {journal}
}
@article{Thomas2011,
author = {Philippe E. Thomas and Roman Klinger and Laura
I. Furlong and Martin Hofmann-Apitius and Christoph
M. Friedrich},
title = {Challenges in the association of human single
nucleotide polymorphism mentions with unique
database identifiers},
journal = {BMC Bioinformatics},
year = {2011},
volume = {12(Suppl 4)},
number = {S4},
doi = {10.1186/1471-2105-12-S4-S4},
internaltype = {journal}
}